Kaushal Patel
Member Of Technical Staff at Anthropic
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKashyap Patel is a Senior Software Engineer at Microsoft with six years of experience building AI/ML data platforms used by model builders and feature teams across Windows, including Recall and Semantic Files Search. He leads an internal platform that powers dataset generation, training, and evaluation workflows, and holds four patents spanning AI dataset generation, reinforcement learning, and automated software testing. A Georgia Tech alumnus with both BS and MS in Computer Science focused on AI, ML, and HCI, he blends research-informed thinking with production-grade engineering. He’s contributed to the responsible-ai-toolbox open-source project—adding data balance analysis and fairness metrics—demonstrating practical experience in responsible ML tooling. Known for collaborating on large-scale, nontrivial problems, he brings both technical leadership and a knack for turning complex ML data needs into usable, testable systems.
6 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at UC Santa BarbaraBachelor of Science (BS) Mathematics and Physics, Bachelor of Science (BS) Mathematics and Physics at McGill University
Hindi, English
Github Skills (13)
pandas10
machine-learning10
f10
n10
python10
data-science10
data-analysis10
data-visualisation9
data-visualization9
data-visualizations9
unit-testing9
ui-design7
jupyter6
Programming languages (5)
Github contributions (5)
microsoft/responsible-ai-toolbox
Jun 2022 - Jan 2023
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Role in this project:
Data Scientist
Data ScientistContributions:47 reviews, 9 commits, 17 PRs in 7 months
Contributions summary:Kaushal contributed significantly to the data balance analysis features within the responsible-ai-toolbox. They added a `DataBalanceAnalysis` module, developed and unit tested a `DataBalanceManager`, and integrated data balance measures into the UI. The commits demonstrate expertise in computing various fairness measures, implementing charts, and incorporating the data balance metrics into the user interface. The user also made crucial fixes, ensuring that the data balance features function correctly.
fairness-mlwidgetpythonmonitordeveloper-tools
ms-kashyap/responsible-ai-widgets
Nov 2021 - Jun 2022
This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.
Contributions:3 reviews, 6 PRs, 89 pushes in 7 months
building-blocksmachine-learningfairlearnuser-interfaceserror-analysis
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